Research on Visual Perception of Speed Bumps for Intelligent Connected Vehicles Based on Lightweight FPNet

Research on Visual Perception of Speed Bumps for Intelligent Connected Vehicles Based on Lightweight FPNet

In the field of intelligent connected vehicles, the precise and real-time identification of speed bumps is critically important for the safety of autonomous driving. To address the issue that existing visual perception algorithms struggle to simultaneously maintain identification accuracy and real-t...

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Bibliografische gegevens
Hoofdauteurs: Ruochen Wang, Xiaoguo Luo, Qing Ye, Yu Jiang, Wei Liu
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2024-03-01
Reeks:Sensors
Onderwerpen:
intelligent connected vehicles
autonomous driving
visual perception
speed bumps
YOLOv5
deep learning
Online toegang:https://www.mdpi.com/1424-8220/24/7/2130

Internet

https://www.mdpi.com/1424-8220/24/7/2130

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